{"id":"W1977565935","doi":"10.1061/(asce)hy.1943-7900.0000918","title":"Profile-Induced Column Separation and Rejoining during Rapid Pipeline Filling","year":2014,"lang":"en","type":"article","venue":"Journal of Hydraulic Engineering","topic":"Water Systems and Optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Separation (statistics); Column (typography); Pipeline (software); Water column; Mechanics; Flow (mathematics); Pipeline transport; Hydraulics; Geotechnical engineering; Geology; Petroleum engineering; Structural engineering; Engineering; Computer science; Physics; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003729685,0.0001547284,0.0002731792,0.000208211,0.00004979873,0.00006996704,0.00007828447,0.00007868183,0.000009288587],"category_scores_gemma":[0.00007113683,0.0001517085,0.00005345381,0.0001396764,0.000004341049,0.0003587694,0.0000159973,0.0001984968,0.000002671033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005358976,"about_ca_system_score_gemma":0.000007169037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002705294,"about_ca_topic_score_gemma":0.000005408944,"domain_scores_codex":[0.9989965,0.00001776348,0.0005205479,0.00009447525,0.0001708087,0.00019989],"domain_scores_gemma":[0.9995621,0.00003798188,0.0001217676,0.0001029195,0.00007262532,0.0001026463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005778608,0.000004310807,0.0001134815,0.0001852194,0.00002971625,0.000008089331,0.0003615597,0.9512385,0.04668167,0.00001633636,0.0003053074,0.001050069],"study_design_scores_gemma":[0.0005566569,0.00006195808,0.001209276,0.0003351102,0.00002139995,0.0002078471,0.00002715232,0.9682794,0.02719636,0.000004036794,0.001913122,0.0001877415],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7997077,0.0006282206,0.1975833,0.00004519233,0.0008328006,0.0001080847,7.480884e-7,0.0001391615,0.0009549032],"genre_scores_gemma":[0.9942972,0.0000789644,0.004836856,0.000008478327,0.0006562909,0.000003447972,0.000001979378,0.00004404233,0.00007270629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1945896,"threshold_uncertainty_score":0.6186492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006123144826265288,"score_gpt":0.19418431854663,"score_spread":0.1880611737203647,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}